Comparison of different methods on the Google Maps/Aerial Photos dataset
- pix2pix is trained on aligned pairs.
- “feature loss + GAN” uses the GAN loss plus the L1 difference of the activation of ReLU4_2 of a pretrained VGG network.
- “pixel loss + GAN” uses the GAN loss plus the L1 difference loss of the pixels of the input and output images.
Input |
BiGAN |
CoGAN |
feature loss + GAN |
pixel loss + GAN |
CycleGAN |
pix2pix |
Ground Truth |
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